LENOVO 21KWS56V00
Geekbench ML Score
14485
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 18 2024 11:03 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KWS56V00 |
| Motherboard | LENOVO 21KWS56V00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 3000 Ada Generation Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6333
1.19 KIPS |
|
|
Image Classification (F16)
|
100% |
6964
1.30 KIPS |
|
|
Image Classification (I8)
|
100% |
6171
1.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
11466
191.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
10416
174.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
9451
157.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
98952
119.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
98198
118.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
85598
103.7 IPS |
|
|
Object Detection (F32)
|
100% |
5237
391.0 IPS |
|
|
Object Detection (F16)
|
100% |
5307
396.2 IPS |
|
|
Object Detection (I8)
|
63% |
4885
364.7 IPS |
|
|
Face Detection (F32)
|
100% |
17952
213.4 IPS |
|
|
Face Detection (F16)
|
100% |
17286
205.5 IPS |
|
|
Face Detection (I8)
|
89% |
15762
187.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
39968
310.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
41153
319.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
34810
270.0 IPS |
|
|
Style Transfer (F32)
|
100% |
164052
215.8 IPS |
|
|
Style Transfer (F16)
|
100% |
144747
190.4 IPS |
|
|
Style Transfer (I8)
|
98% |
131930
173.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
27442
980.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
27096
967.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
20805
743.0 IPS |
|
|
Text Classification (F32)
|
100% |
2287
3.29 KIPS |
|
|
Text Classification (F16)
|
100% |
2303
3.31 KIPS |
|
|
Text Classification (I8)
|
98% |
1374
1.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
3231
59.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3248
59.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1882
34.6 IPS |
